
Perspectives and applications of machine learning for evolutionary developmental biology
2018; Royal Society of Chemistry; Volume: 14; Issue: 5 Linguagem: Inglês
10.1039/c8mo00111a
ISSN2515-4184
AutoresBruno César Feltes, Bruno Iochins Grisci, Joice de Faria Poloni, Márcio Dorn,
Tópico(s)Genomics and Phylogenetic Studies
ResumoIn this review, we aim to expose the current advances of machine learning applied to evolution and development.
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